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In all cases involving either nucleotide sequences or maximum likelihood calculations, consensus NJ trees from 500 bootstrap samples were computed for comparison using PHYLIP (using the default substitution matrices, i.e. JTT for amino acids and F84 for nucleotides).
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Subsequent maxima of the likelihood function associated with bootstrapped samples were computed by means of local optimization algorithms (e.g., downhill simplex or quasi-Newton).
Bootstrap samples were then repeatedly drawn and SSD Index was computed.
Bootstrap samples were drawn with replacement (n = 1000) from the two data sets (N = 681 and N = 512, respectively) and were used to compute adjusted AUCs.
First 100 bootstrap samples were generated.
- The percentile bootstrap procedure trimpb [ 58, 59], with 2000 bootstrap samples, was applied to compute robust confidence intervals (CI's) for means and trimmed means in R [ 60]. - Chi-square-tests [ 61] were used for the analysis of two-dimensional contingency tables.
The wild bootstrap samples are constructed by adding the bootstrap residuals : (16).
The bootstrap samples are twice the number of measurements.
Each of the bootstrap samples is considered as new data.
In order to estimate the robustness of the tree topology, we simulated by bootstrap [ 67] a whole new set of signatures from the initial set of motif frequencies, sampling with replacement (in general, 100 bootstrap trees were computed).
Bootstrap values were computed for each inner node by re-sampling the rows of the matrix 1000 times.
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